This paper provides comparative theoretical and numerical results on risks,
values, and hedging strategies for local risk-minimization versus mean-var
iance hedging in a class of stochastic volatility models. We explain the th
eory for both hedging approaches in a general framework, specialize to a Ma
rkovian situation, and analyze in detail variants of the well-known Heston
(1993) and Stein and Stein (1991) stochastic volatility models. Numerical r
esults are obtained mainly by PDE and simulation methods. In addition, we t
ake special care to check that all of our examples do satisfy the condition
s required by the general theory.